Using R and RStudio for Data Management, Statistical Analysis, and Graphics [Hardcover]

Data Input and Output. Data Management. Statistical and Mathematical Functions. Programming and Operating System Interface. Common Statistical Procedures. Linear Regression and ANOVA. Regression Generalizations and Modeling. A Graphical Compendium. Graphical Options and Configuration. Simulation. Special Topics. Case Studies. Appendices.

Improve Your Analytical Skills

Incorporating the latest R packages as well as new case studies and applications, Using R and RStudio for Data Management, Statistical Analysis, and Graphics, Second Edition covers the aspects of R most often used by statistical analysts. New users of R will find the books simple approach easy to understand while more sophisticated users will appreciate the invaluable source of task-oriented information.

New to the Second Edition

• The use of RStudio, which increases the productivity of R users and helps users avoid error-prone cut-and-paste workflows
• New chapter of case studies illustrating examples of useful data management tasks, reading complex files, making and annotating maps, scraping data from the web, mining text files, and generating dynamic graphics
• New chapter on special topics that describes key features, such as processing by group, and explores important areas of statistics, including Bayesian methods, propensity scores, and bootstrapping
• New chapter on simulation that includes examples of data generated from complex models and distributions
• A detailed discussion of the philosophy and use of the knitr and markdown packages for R
• New packages that extend the functionality of R and facilitate sophisticated analyses
• Reorganized and enhanced chapters on data input and output, data management, statisticls2